AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 746 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
6. 6.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) flagging a new email (d) what training builds
7. 7.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) recorded spoken words (d) flagging a new email
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
10. 10.True or false: “past weather records” is the model. (a) True (b) False
11. 11.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
12. 12.True or false: “recorded spoken words” is the model. (a) True (b) False
13. 13.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) tomorrow’s rain guess
14. 14.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
18. 18.True or false: “labelled fruit photos” is training data. (a) False (b) True
19. 19.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
20. 20.True or false: “typing a new spoken word” is the model. (a) False (b) True
21. 21.Which of these is the model? (a) past weather records (b) flagging a new email (c) naming a new leaf (d) the learned patterns
22. 22.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
23. 23.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
24. 24.True or false: “the learned patterns” is training data. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
26. 26.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
28. 28.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
30. 30.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
35. 35.True or false: “old emails marked spam” is training data. (a) False (b) True
36. 36.True or false: “the learned patterns” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
39. 39.True or false: “naming a new leaf” is a prediction. (a) True (b) False
40. 40.True or false: “500 labelled leaf photos” is training data. (a) False (b) True

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